Module: SVMKit

Defined in:

lib/svmkit/version.rb,
lib/svmkit/dataset.rb,
lib/svmkit/tree/node.rb,
lib/svmkit/validation.rb,
lib/svmkit/base/splitter.rb,
lib/svmkit/optimizer/sgd.rb,
lib/svmkit/base/evaluator.rb,
lib/svmkit/base/regressor.rb,
lib/svmkit/base/classifier.rb,
lib/svmkit/optimizer/nadam.rb,
lib/svmkit/pairwise_metric.rb,
lib/svmkit/base/transformer.rb,
lib/svmkit/linear_model/svc.rb,
lib/svmkit/linear_model/svr.rb,
lib/svmkit/optimizer/rmsprop.rb,
lib/svmkit/linear_model/lasso.rb,
lib/svmkit/linear_model/ridge.rb,
lib/svmkit/base/base_estimator.rb,
lib/svmkit/optimizer/yellow_fin.rb,
lib/svmkit/probabilistic_output.rb,
lib/svmkit/model_selection/k_fold.rb,
lib/svmkit/naive_bayes/naive_bayes.rb,
lib/svmkit/kernel_approximation/rbf.rb,
lib/svmkit/evaluation_measure/recall.rb,
lib/svmkit/kernel_machine/kernel_svc.rb,
lib/svmkit/evaluation_measure/f_score.rb,
lib/svmkit/evaluation_measure/accuracy.rb,
lib/svmkit/evaluation_measure/log_loss.rb,
lib/svmkit/evaluation_measure/r2_score.rb,
lib/svmkit/preprocessing/l2_normalizer.rb,
lib/svmkit/preprocessing/label_encoder.rb,
lib/svmkit/evaluation_measure/precision.rb,
lib/svmkit/preprocessing/min_max_scaler.rb,
lib/svmkit/tree/decision_tree_regressor.rb,
lib/svmkit/preprocessing/one_hot_encoder.rb,
lib/svmkit/preprocessing/standard_scaler.rb,
lib/svmkit/tree/decision_tree_classifier.rb,
lib/svmkit/linear_model/linear_regression.rb,
lib/svmkit/ensemble/random_forest_regressor.rb,
lib/svmkit/linear_model/logistic_regression.rb,
lib/svmkit/model_selection/cross_validation.rb,
lib/svmkit/ensemble/random_forest_classifier.rb,
lib/svmkit/model_selection/stratified_k_fold.rb,
lib/svmkit/multiclass/one_vs_rest_classifier.rb,
lib/svmkit/evaluation_measure/precision_recall.rb,
lib/svmkit/evaluation_measure/mean_squared_error.rb,
lib/svmkit/evaluation_measure/mean_absolute_error.rb,
lib/svmkit/nearest_neighbors/k_neighbors_regressor.rb,
lib/svmkit/nearest_neighbors/k_neighbors_classifier.rb,
lib/svmkit/polynomial_model/factorization_machine_regressor.rb,
lib/svmkit/polynomial_model/factorization_machine_classifier.rb

Overview

SVMKit is a machine learning library in Ruby.

Defined Under Namespace

Modules: Base, Dataset, Ensemble, EvaluationMeasure, KernelApproximation, KernelMachine, LinearModel, ModelSelection, Multiclass, NaiveBayes, NearestNeighbors, Optimizer, PairwiseMetric, PolynomialModel, Preprocessing, ProbabilisticOutput, Tree